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LACK OF PUBLICATION BIAS IN INTELLIGENCE AND WORKING MEMORY RESEARCH: REANALYSIS OF ACKERMAN, BEIER, & BOYLE, 2005

100%
Taraday M.
Studia Psychologica
|
2019
|
vol. 61
|
issue 4
203 – 212
EN
A meta-analysis was carried out to demonstrate the existence of publication bias in research on the relationship between measures of fluid intelligence and working memory. Reanalysis of data collected in Ackerman, Beier, & Boyle, 2005 was conducted. A heterogeneous distribution of correlation coefficients in the absence of asymmetry in the distribution of coefficients was observed. According to the author of the analysis, there are no arguments for the presence of publication bias in this particular set of results drawn from research on intelligence and working memory.
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NÁSTROJE NA ZLEPŠENIE ŠTATISTICKEJ INFERENCIE – ANALÝZA P-KRIVIEK A EKVIVALENČNÉ TESTOVANIE

88%
Fico M.
Sociológia (Sociology)
|
2020
|
vol. 52
|
issue 4
323 – 353
EN
File-drawer effect, selective data reporting and additional data adjustment often lead to publication bias in social sciences. This text deals with two techniques diminishing consequences of these negative phenomena. P-curves can distinguish relevant publications from nonsignificant ones and help us to select information base for formulation of next research goals. Another presented technique is equivalence testing. Focused on the falsification of hypotheses, it helps better explore trivial results and makes them more informative. Both techniques support informative value of results so that the conclusions of statistical inference are more valuable.
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